Dharmin D. Desai, Ivan L. Cordrey, E. Lee Johnson, Thomas A. Oldland
{"title":"AFI 人工规划与 HyperArc 自动规划:SRS 计划质量的正面比较。","authors":"Dharmin D. Desai, Ivan L. Cordrey, E. Lee Johnson, Thomas A. Oldland","doi":"10.1002/acm2.14503","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Introduction</h3>\n \n <p>HyperArc (HA) auto-planning offers simplicity for the end user and consistently high-quality SRS plans. The “Ask For It” (AFI) optimization strategy offers a manual planning technique that, when coupled with R50%<sub>Analytic</sub>, can be guided to deliver a plan with an intermediate dose spill “as low as reasonably achievable” and high target dose conformity. A direct comparison of SRS plan quality obtained using the manual planning AFI strategy and HA has been performed.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>Using a CT data set available from the Radiosurgery Society, 54 PTVs were created and used to generate 19 individual SRS/SRT cases. Case complexity ranged from single PTV plans to multiple PTV plans with a single isocenter. PTV locations ranged from relative isolation from critical structures to lesions within 1.5 mm of the optic apparatus and abutting the brainstem. All cases were planned using both the AFI and HA optimization strategies as implemented in the Varian Medical Systems Eclipse Treatment Planning System. A range of treatment plan quality metrics were obtained including Intermediate Dose Spill (R50%), Conformity Indices CI<sub>RTOG</sub> and CI<sub>Paddick</sub>, PTV Dose Coverage (Dn%), PTV Mean Dose, and Modulation Factor. The Wilcoxon Signed Rank Sum non-parametric statistical method was utilized to compare the obtained plan quality metrics.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Statistically significant improvements were found for the AFI strategy for metrics R50%, CI<sub>RTOG</sub>, CI<sub>Paddick</sub>, and PTV Mean Dose (<i>p</i> < 0.001). HA achieved superior coverage for Dn% (<i>p</i> = 0.018), while the Modulation Factors were not significantly different for AFI compared to HA optimization (<i>p</i> = 0.13).</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>This study provides evidence that the AFI manual planning strategy can produce high-quality planning metrics similar to the HA auto-planning method.</p>\n </section>\n </div>","PeriodicalId":14989,"journal":{"name":"Journal of Applied Clinical Medical Physics","volume":null,"pages":null},"PeriodicalIF":2.0000,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11540047/pdf/","citationCount":"0","resultStr":"{\"title\":\"AFI manual planning versus HyperArc auto-planning: A head-to-head comparison of SRS plan quality\",\"authors\":\"Dharmin D. Desai, Ivan L. Cordrey, E. Lee Johnson, Thomas A. 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AFI manual planning versus HyperArc auto-planning: A head-to-head comparison of SRS plan quality
Introduction
HyperArc (HA) auto-planning offers simplicity for the end user and consistently high-quality SRS plans. The “Ask For It” (AFI) optimization strategy offers a manual planning technique that, when coupled with R50%Analytic, can be guided to deliver a plan with an intermediate dose spill “as low as reasonably achievable” and high target dose conformity. A direct comparison of SRS plan quality obtained using the manual planning AFI strategy and HA has been performed.
Methods
Using a CT data set available from the Radiosurgery Society, 54 PTVs were created and used to generate 19 individual SRS/SRT cases. Case complexity ranged from single PTV plans to multiple PTV plans with a single isocenter. PTV locations ranged from relative isolation from critical structures to lesions within 1.5 mm of the optic apparatus and abutting the brainstem. All cases were planned using both the AFI and HA optimization strategies as implemented in the Varian Medical Systems Eclipse Treatment Planning System. A range of treatment plan quality metrics were obtained including Intermediate Dose Spill (R50%), Conformity Indices CIRTOG and CIPaddick, PTV Dose Coverage (Dn%), PTV Mean Dose, and Modulation Factor. The Wilcoxon Signed Rank Sum non-parametric statistical method was utilized to compare the obtained plan quality metrics.
Results
Statistically significant improvements were found for the AFI strategy for metrics R50%, CIRTOG, CIPaddick, and PTV Mean Dose (p < 0.001). HA achieved superior coverage for Dn% (p = 0.018), while the Modulation Factors were not significantly different for AFI compared to HA optimization (p = 0.13).
Conclusion
This study provides evidence that the AFI manual planning strategy can produce high-quality planning metrics similar to the HA auto-planning method.
期刊介绍:
Journal of Applied Clinical Medical Physics is an international Open Access publication dedicated to clinical medical physics. JACMP welcomes original contributions dealing with all aspects of medical physics from scientists working in the clinical medical physics around the world. JACMP accepts only online submission.
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